Invention Grant
- Patent Title: Guiding machine learning models and related components
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Application No.: US15840315Application Date: 2017-12-13
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Publication No.: US11537932B2Publication Date: 2022-12-27
- Inventor: Norman Bobroff , Alan Braz , Martin Hirzel , Todd Mummert , Peter Westerink
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04

Abstract:
Techniques facilitating guiding machine learning models and related components are provided. In one example, a computer-implemented method comprises identifying, by a device operatively coupled to a processor, a set of models, wherein the set of models includes respective model components; determining, by the device, one or more model relations among the respective model components, wherein the one or more model relations respectively comprise a vector of component relations between respective pairwise ones of the model components; and suggesting, by the device, a subset of the set of models based on a mapping of the component relations.
Public/Granted literature
- US20190180199A1 GUIDING MACHINE LEARNING MODELS AND RELATED COMPONENTS Public/Granted day:2019-06-13
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